Search results
-
-
Title
-
A Qualitative Investigation of Factors Contributing to Women Majoring in Computer Science
-
Author
-
Wong, Alexandria
-
Date Created
-
2022
-
Subjects--Topical
-
Education, Computer science
-
Description
-
This study investigates factors that influence young women’s decision to major in computer science (CS). While there is a rapid increase of scientific advances being made in the United States and the importance of scientific fields for societal, e...
-
-
Title
-
Art Authentication in an Untagged Art Database
-
Author
-
Dobbs, Bryan
-
Date Created
-
2022
-
Subjects--Topical
-
Computer science, Art--Historiography, Mathematics
-
Description
-
The identification of the artist of a painting is also known as art authentication, and the answer to this question is manifest through art gallery exhibition and is reinforced through financial transactions. Art authentication has visual influenc...
-
-
Title
-
Automated Classification and Mitigation of Cybersecurity Vulnerabilities
-
Author
-
Aghaei, Ehsan
-
Date Created
-
2022
-
Subjects--Topical
-
Computer science
-
Description
-
With the widespread use of computers and networks today, cybersecurity has emerged as a crucial concern for many businesses as they fight with growing cyber threats by vulnerability exploitation. To identify and mitigate zero-day or unpatched vuln...
-
-
Title
-
Building an Efficient and Scalable Learning System on Heterogeneous Cluster
-
Author
-
Yang, Donglin
-
Date Created
-
2022
-
Subjects--Topical
-
Computer science
-
Description
-
Deep Learning (DL) has been widely applied in both academia and industry. System innovations can continue to squeeze more efficiency out of modern hardware. Existing systems such as TensorFlow, MXNet, and PyTorch have emerged to assist researchers...
-
-
Title
-
Evaluating Co-Creation In Collaborative Drawing Using Creative Thinking Modes
-
Author
-
Algarni, Ali
-
Date Created
-
2022
-
Subjects--Topical
-
Computer science
-
Description
-
Co-creation is a form of collaboration in which partners share, improve and blend ideas together to develop a creative product. It helps to share ideas and solve problems in a creative manner. Several co-creativity research works have focused on g...
-
-
Title
-
Granular Emotion Detection for Multi-class Sentiment Analysis in Social Media
-
Author
-
Frye, Robert
-
Date Created
-
2022
-
Subjects--Topical
-
Computer science
-
Description
-
Sentiment analysis for text classification generally refers to assessing the polarity of the emotional context of written text, whether in a binary (e.g. positive or negative) or trinary (e.g. positive, neutral, or negative) state. Granular emotio...
-
-
Title
-
HIJaX - Human Intent To JavaScript XSS Generator
-
Author
-
Frempong, Yaw
-
Date Created
-
2022
-
Subjects--Topical
-
Computer science
-
Description
-
Websites remain popular targets for Cross-Site Scripting (XSS) attacks. Although the prevalence of XSS attacks is on the rise, many developers do not have the cybersecurity expertise to secure their web applications against these attacks. Non-secu...
-
-
Title
-
Image dilution using Harris corner detection and geometric kernels
-
Author
-
James, Aiden, Li, Xingjie Helen
-
Date Created
-
2022
-
Subjects--Topical
-
Computer science, Sparse matrices, Matrices
-
Description
-
Image files contain large amounts of data. An image is essentially a matrix of values, often represented as RGBA (red, green, blue, alpha) arrays. A large three dimensional matrix with a height and width likely in the hundreds can take long for a ...
-
-
Title
-
In search of a predictive model for aflatoxin insurance claims based on temperature data
-
Author
-
German-Jimenez, Fausto, Terejanu, Gabriel
-
Date Created
-
2022
-
Subjects--Topical
-
Computer science, Machine learning, Statistics, Agriculture
-
Description
-
Aflatoxin is a carcinogenic product of mold that affects thousands of corn-producing farms in the United States every year, so being able to predict when a county will have compromising aflatoxin levels could be beneficial for insurance companies....
-
-
Title
-
ModuleLog : module based approach to anomaly detection in parallel file system logs
-
Author
-
Egersdoerfer, Chris, Dai, Dong, Zhang, Di
-
Date Created
-
2022
-
Subjects--Topical
-
Computer networks, Anomaly detection (Computer security), Computer science
-
Description
-
With the increasing prevalence of Parallel File Systems (PFSes) in the context of vast and complex server networks, the importance of accurate anomaly detection on runtime logs of parallel file systems is increasing. But as it currently stands, ma...
-
-
Title
-
Performance Models and Impact of Vector Architecture on Graph Algorithms
-
Author
-
Hossain, Md Maruf
-
Date Created
-
2022
-
Subjects--Topical
-
Computer science
-
Description
-
Representing modern data using graphs has become more prominent in recent years. The gradual increasing size and complex structure of graphs made many classical algorithms slow. Meanwhile, graphs like social and web networks evolve over time. Trad...
-
-
Title
-
Personalized Interaction-Focused Interventions For Mitigating Misinformation
-
Author
-
Siddiqui, Safat
-
Date Created
-
2022
-
Subjects--Topical
-
Design, Computer science
-
Description
-
This dissertation addresses a novel approach to assessing users' interaction tendencies on social media as a basis for personalized interventions that can make the truth louder and mitigate the spread of misinformation. This research leverages use...
-
-
Title
-
Recommender System for Improving Churn Rate
-
Author
-
Duan, Yuehua
-
Date Created
-
2022
-
Subjects--Topical
-
Computer science
-
Description
-
Customer churn leads to higher customer acquisition cost, lower volume of service consumption and reduced product purchase. Reducing the outflow of the customers by 5% can double the profit of a typical company. Therefore, it is of significant value ...
-
-
Title
-
Rethinking Few-Shot Learning For Speech, Continual Learning And Privacy
-
Author
-
Parnami, Archit
-
Date Created
-
2022
-
Subjects--Topical
-
Computer science, Artificial intelligence
-
Description
-
The availability of large amounts of labeled training data is a major contributing factor (and a bottleneck) to the recent progress in the field of Deep Learning. However, collecting and labeling data is a time consuming and expensive process. Oft...